Seminars and Colloquia by Series

Friday, December 7, 2018 - 15:00 , Location: None , None , None , Organizer: Lutz Warnke
Wednesday, December 5, 2018 - 14:00 , Location: Skiles 006 , Monica Flamann , Georgia Tech , Organizer: Sudipta Kolay
Wednesday, December 5, 2018 - 01:55 , Location: Skiles 005 , Rachel Greenfeld , Bar Ilan University , Organizer: Shahaf Nitzan
Monday, December 3, 2018 - 14:00 , Location: Skiles 006 , Oleg Lazarev , Columbia , Organizer: John Etnyre
Monday, December 3, 2018 - 13:00 , Location: Skiles 006 , Oleg Lazarev , Columbia , Organizer: John Etnyre
Monday, December 3, 2018 - 12:55 , Location: Skiles 006 , Yanir Rubinshtein , University of Maryland , , Organizer: Galyna Livshyts

Note the special time!

Friday, November 30, 2018 - 14:00 , Location: Skiles 005 , Isabel Vogt , Massachusetts Institute of Technology , , Organizer: Padmavathi Srinivasan
In this talk we will discuss an arithmetic analogue of the gonality of a nice curve over a number field: the smallest positive integer e such that the points of residue degree bounded by e are infinite.  By work of Faltings, Harris--Silverman and Abramovich--Harris, it is understood when this invariant is 1, 2, or 3; by work of Debarre-Fahlaoui these criteria do not generalize.  We will focus on scenarios under which we can guarantee that this invariant is actually equal to the gonality using the auxiliary geometry of a surface containing the curve. This is joint work with Geoffrey Smith.
Thursday, November 29, 2018 - 15:05 , Location: Skiles 006 , Rachel Kuske , School of Mathematics, GaTech , Organizer: Christian Houdre
Heavy tailed distributions have been shown to be consistent with data in a variety of systems with multiple time scales.  Recently, increasing attention has appeared in different phenomena related to climate.  For example,  correlated additive and multiplicative (CAM) Gaussian noise, with infinite variance or heavy tails in certain parameter regimes,  has received increased attention in the context of atmosphere and ocean dynamics.  We discuss how CAM noise can appear generically in many reduced models. Then we show how reduced models for systems driven by fast linear CAM noise processes can be connected with the stochastic averaging for multiple scales systems driven by alpha-stable processes.   We identify the conditions under which the approximation of a CAM noise process is valid in the averaged system, and illustrate methods using effectively equivalent fast, infinite-variance processes.   These applications motivate new stochastic averaging results for systems with fast processes driven by heavy-tailed noise.  We develop these results for the case of alpha-stable noise, and discuss open problems for identifying appropriate heavy tailed distributions for these multiple scale systems. This is joint work with Prof. Adam Monahan (U Victoria) and Dr. Will Thompson (UBC/NMi Metrology and Gaming).
Wednesday, November 28, 2018 - 13:55 , Location: Skiles 005 , Rui Han , Georgia Tech , Organizer: Shahaf Nitzan
Wednesday, November 28, 2018 - 12:55 , Location: skiles 006 , Marcel Celaya , Georgia Institute of technology , , Organizer: Galyna Livshyts